Artificial Intelligence Foundation

  • Datum:
    • 27-11-2023: 09:30 - 17:30
    • 28-11-2023: 09:30 - 17:30
    • 29-11-2023: 09:30 - 17:30
  • Prijs: € 2 340,00
  • Locatie: ILO - Online Training
  • Taal: EN
  • Categorie: Data and Analytics
  • Gegarandeerd:


Artificial Intelligence (AI) is a methodology for using a non human system to learn from experience and imitate human intelligent behavior. This training covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. 

This course prepares for the EXIN BCS Artificial Intelligence Foundation certification


The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in (or need to implement) AI in an organization— especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services.

Course objectives

In this course, students will learn to:

  • Describe how artificial intelligence (AI) is part of ‘Universal Design’ and ‘The Fourth Industrial Revolution’
  • Demonstrate understanding of the artificial intelligence (AI) intelligent agent description
  • Explain the benefits of artificial intelligence (AI)
  • Describe how we learn from data— functionality, software and hardware
  • Demonstrate an understanding that artificialintelligence (AI) (in particular, machine learning—ML) will drive humans and machines to work together
  • Describe a ‘learning from experience’ Agileapproach to projects

Certifications and related examinations

The EXIN BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This Foundation certificate includes and expands on the knowledge taught in the EXIN BCS Essentials Certificate in Artificial Intelligence.


Detailed course outline

Introduction and Course Outline

  • Course overview and structure
  • Exam information
  • Daily schedule


Human and Artificial Intelligence—Part 1

  • General definition of AI
  • Ethics
  • Sustainability
  • AI as part of Universal Design and The Fourth Industrial Revolution
  • Challenges and risks


Exercise 1

  • Opportunities for AI


Human and Artificial Intelligence—Part 2

  • Learning from experience
  • Applying the benefits of AI
  • Opportunities


Ethics and Sustainability – Trustworthy AI—Part 1

  • Roles and responsibilities of humans and machines


Ethics and Sustainability – Trustworthy AI—Part 2

  • Trustworthy AI


Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning

  • Learning from data, functionality, software and hardware


Exercise Two

  • Ethics and sustainability


Artificial Intelligent Agents and Robotics

  • AI intelligent agent description
  • What a robot is
  • What an intelligent robot is


Being Human, Conscious, Competent and Adaptable

  • AI project teams
  • Modelling humans


Exercise Three

  • Human plus machine mindmap


What is a Robot?

  • Definition of a robot
  • Robot paradigm


Applying the Benefits of AI

  • Benefits, challenges and risks


Applying the Benefits of AI

  • Opportunities and funding


Building a Machine Learning Toolbox

  • How do we learn from data?


Building a Machine Learning Toolbox

  • Types of machine learning


Exercise Four

  • Define a simple ML problem


Building a Machine Learning Toolbox – Two Case Studies


Building a Machine Learning Toolbox

  • Introduction to probability and statistics


Building a Machine Learning Toolbox

  • Introduction to linear algebra and vector calculus


Building a Machine Learning Toolbox

  • Visualising data


A Simple Neural Network Schematic

  • Introduction to neural networks


Exercise Five

  • Maturity and funding of an AI system


Open Source ML and Robotic Systems

  • Open source software for AI and robotics


Machine Learning and Consciousness

  • Introduction to machine learning and consciousness


The Future of Artificial Intelligence

  • The human + machine
  • What will drive humans and machines to work together


Exercise Six

  • Explore the future opportunities for AI and human systems


Learning from Experience

  • Agile projects




Exam Practice and Preparation



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